International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume XLII-3/W10
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 1189–1195, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-1189-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 1189–1195, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-1189-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  08 Feb 2020

08 Feb 2020

RESEARCH ON GPS HEIGHT FITTING BASED ON LINEAR REGRESSION MODEL

K. Y. Yang1,2, L. L. Liu1,2, and L. K. Huang1,2,3,4 K. Y. Yang et al.
  • 1College of Geomatic Engineering and Geoinformatics, Guilin University of Technology, Guilin, 541004, China
  • 2Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin, 541004, China
  • 3GNSS Research Center, Wuhan University, Wuhan, 430079, China
  • 4School of Geodesy and Geomatics, Wuhan University, Wuhan, 430079, China

Keywords: GPS elevation fitting, linear regression, polynomial fitting model, fitting accuracy

Abstract. This paper mainly expounds the parameter estimation method, the outlier diagnosis and the establishment of the optimal regression equation in the linear regression model theory, the analysis of the principle of the polynomial fitting model, the derivation of the algorithm process, and the research on the accuracy evaluation method.The GPS survey area is fitted and calculated. The fitting model is analyzed and compared in detail. The better parameter values and regression equation models of the planar region are estimated. The fitting accuracy meets the requirements of the fourth level measurement, which can be used in actual engineering. Replace the fourth level measurement in the application.